Training in progress epoch 2

README.md

@@ -15,14 +15,14 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1705
-- Train Accuracy: 0.94
-- Validation Loss: 0.1964
-- Validation Accuracy: 0.9400
-- Train Precision: 0.9434
-- Train Recall: 0.94
-- Train F1: 0.9395
-- Epoch: 1
+- Train Loss: 0.1366
+- Train Accuracy: 0.942
+- Validation Loss: 0.1600
+- Validation Accuracy: 0.9420
+- Train Precision: 0.9442
+- Train Recall: 0.942
+- Train F1: 0.9417
+- Epoch: 2
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
 | 0.4729     | 0.928          | 0.2098          | 0.9280              | 0.9292          | 0.928        | 0.9275   | 0     |
 | 0.1705     | 0.94           | 0.1964          | 0.9400              | 0.9434          | 0.94         | 0.9395   | 1     |
+| 0.1366     | 0.942          | 0.1600          | 0.9420              | 0.9442          | 0.942        | 0.9417   | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d275ddee488feb089922bd2816e058c8626e135cd33b1e72cc52fc9a2fb60cd7
 size 328641624